EP0806694A2 - Analyse à réseau neuronal pour la conception de lentilles de contact multifocales - Google Patents

Analyse à réseau neuronal pour la conception de lentilles de contact multifocales Download PDF

Info

Publication number
EP0806694A2
EP0806694A2 EP97303145A EP97303145A EP0806694A2 EP 0806694 A2 EP0806694 A2 EP 0806694A2 EP 97303145 A EP97303145 A EP 97303145A EP 97303145 A EP97303145 A EP 97303145A EP 0806694 A2 EP0806694 A2 EP 0806694A2
Authority
EP
European Patent Office
Prior art keywords
predicted
neural network
response
visual acuity
subjective
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP97303145A
Other languages
German (de)
English (en)
Other versions
EP0806694A3 (fr
EP0806694B1 (fr
Inventor
Jeffrey H. Roffman
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Johnson and Johnson Vision Care Inc
Original Assignee
Johnson and Johnson Vision Products Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Johnson and Johnson Vision Products Inc filed Critical Johnson and Johnson Vision Products Inc
Publication of EP0806694A2 publication Critical patent/EP0806694A2/fr
Publication of EP0806694A3 publication Critical patent/EP0806694A3/fr
Application granted granted Critical
Publication of EP0806694B1 publication Critical patent/EP0806694B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G02—OPTICS
    • G02C—SPECTACLES; SUNGLASSES OR GOGGLES INSOFAR AS THEY HAVE THE SAME FEATURES AS SPECTACLES; CONTACT LENSES
    • G02C7/00—Optical parts
    • G02C7/02—Lenses; Lens systems ; Methods of designing lenses
    • G02C7/04—Contact lenses for the eyes
    • G02C7/041—Contact lenses for the eyes bifocal; multifocal
    • G02C7/044—Annular configuration, e.g. pupil tuned
    • G—PHYSICS
    • G02—OPTICS
    • G02C—SPECTACLES; SUNGLASSES OR GOGGLES INSOFAR AS THEY HAVE THE SAME FEATURES AS SPECTACLES; CONTACT LENSES
    • G02C7/00—Optical parts
    • G02C7/02—Lenses; Lens systems ; Methods of designing lenses
    • G02C7/024—Methods of designing ophthalmic lenses
    • G02C7/028—Special mathematical design techniques
    • G—PHYSICS
    • G02—OPTICS
    • G02C—SPECTACLES; SUNGLASSES OR GOGGLES INSOFAR AS THEY HAVE THE SAME FEATURES AS SPECTACLES; CONTACT LENSES
    • G02C7/00—Optical parts
    • G02C7/02—Lenses; Lens systems ; Methods of designing lenses
    • G02C7/04—Contact lenses for the eyes
    • G02C7/041—Contact lenses for the eyes bifocal; multifocal
    • G02C7/042—Simultaneous type

Definitions

  • This invention generally relates to multifocal opthamalic lens designs, and more particularly to a method for determining optimal designs for multifocal opthamalic lenses using neural network analysis.
  • each eye contains a natural lens that is used to focus images on the retina of the eye.
  • the lens of the eye In a person with normal eyesight, the lens of the eye is naturally shaped to focus images of distant objects on the retina, and the eye lens is bent in order to focus images of near objects on the retina. This adjustment of the eye lens to focus images of objects on the retina is referred to as accommodation.
  • Presbyopia can be corrected with prescribed optical lenses.
  • Inadequate accommodation may be corrected by spectacles or other lenses having a number of different regions with different optical powers.
  • a person wearing spectacles must shift his or her line of vision so that the object being viewed is observed through a portion of the spectacle having the appropriate optical power.
  • An alternative to spectacles is opthamalic contact lenses with multifocal capabilities. Multifocal contact lenses provide the wearer with the ability to focus on objects at both near and far distances without changing their line of vision.
  • Specific multifocal lens designs have a circular inner region surrounded by a plurality of concentric annular rings having alternating optical power.
  • the lens is divided into two or more regions, including the circular inner region, having various optical power distributions.
  • Each region, other than the circular inner region, may contain one or more annular rings.
  • a preferred multifocal lens design for the correction of presbyopia separates the lens into three regions: a circular inner region; an annular intermediate region consisting of multiple annular rings having alternating optical powers; and an annular outer region. This preferred design is described in detail in EP-A-0 742 464.
  • the inner region has distance optical corrective power.
  • the inner region is most important in conditions of high luminance when the pupil of the eye is constricted to limit the amount of light that enters the eye.
  • the effective corrective coverage area of the multifocal lens is the inner region.
  • the intermediate region has both near and distance optical corrective powers.
  • the intermediate region is most important in conditions of intermediate luminance when the pupil is in the middle of its dilation range.
  • the boundary of the effective corrective coverage area of the multifocal lens is the intermediate region.
  • the outer region is designed to have distance optical corrective power.
  • the outer region is most important in conditions of low luminance when the pupil of the eye is fully dilated.
  • the boundary of the effective corrective coverage area of the multifocal lens is the outer region.
  • Low luminance conditions, when the pupil is fully dilated, can occur outdoors at night. Nighttime activities usually include driving a vehicle or walking down a street which require distance vision correction.
  • the multifocal lens design set forth above is a preferred design for correction of presbyopia, however, other designs are possible which may perform as well or better. Optimal designs vary from patient to patient and are dependent upon individual patient parameters.
  • Designing optimal multifocal contact lenses for large groups of patients entails selecting optical design parameters based upon the common optical needs of the patients in the group.
  • Relevant optical design parameters for fitting contact lenses to patients with presbyopia include, but are not limited to, the following: number of annular rings, spacing of annular rings, lens add power, monocular/binocular function, and pupil function.
  • multifocal contact lenses for treatment of presbyopia generally are comprised of a circular inner region surrounded by one or more annular regions having various optical power distributions.
  • the optical power distribution of each region is defined by a parameter called pupil function.
  • a near or distance optical power distribution indicates that a certain region is predominantly near or distance optical power, respectfully.
  • An equal optical power distribution indicates that a region is comprised of an equal amount of near and distance optical power (i.e.. the annular rings within a region are designed so that half of the total surface area of the region is near optical power and the other half is distance optical power).
  • multifocal lenses can be designed with a plurality of regions
  • practical designs usually have two or three regions with optical power distributions defined by the following pupil function types: distance/equal (d/q), wherein an inner region has distance optical power, and an outer region has an equal amount of near and distance optical power; distance/equal/distance (d/q/d), wherein an inner region has distance optical power, an intermediate region has an equal amount of near and distance optical power, and an outer region has distance optical power; or near/equal/distance (n/q/d), wherein an inner region has near optical power, an intermediate region has an equal amount of near and distance optical power, and an outer region has distance optical power.
  • Another optical design parameter to be considered when designing multifocal contact lenses is monocular/binocular function, which is relevant to multifocal lenses as a pair.
  • Monocular/binocular function indicates whether each lens in a pair is identical or slightly different.
  • Monocular designs are those in which both eyes are fitted with identical lens designs.
  • Binocular designs are those in which each eye is fitted with a slightly different lens designs. Binocular designs usually fit the distance dominant eye with a lens which has a higher proportion of distance optical power than does the lens for the non-dominant eye.
  • Two very important optical design parameters of a multifocal lens are the number of and spacing between the annular rings that surround the circular inner region. These two parameters are a function of patient pupil size under different illumination conditions. They also are affected by the optical power distribution requirements of each region.
  • Lens add power is a function of a patients optical corrective needs.
  • multifocal lens designs are dependent upon several patient parameters.
  • Relevant patient parameters include, but are not limited to, the following: patient age, patient refractive add and patient Hloss.
  • Patient age has additional relevance to multifocal lens designs.
  • the manner in which the size of a person's pupil varies is predictable, principally depending on the illumination level and the age of the person.
  • the size of their pupils at maximum and minimum dilation change, as a function of illumination level, in the same or substantially the same way.
  • the size of a person's pupils at minimum and maximum dilation can be estimated based upon the age of that person.
  • the size of a patient's pupil at different illumination levels affects the effective corrective power ratio of the lens. For example, if a patient is performing a distance vision task under high illumination, the patient's pupil is constricted and the effective corrective area of the multifocal lens is the inner region, which must provide distance vision correction.
  • the effective corrective power ratio of a multifocal lens is a function of patient pupil size, and patient pupil size, as a function of illumination, changes with patient age, it is important to consider patient age when designing multifocal lenses.
  • the inability to focus images that are relatively near is measured by the amount of positive optical power that must be added to an individual's base distance correction, if any, in order to enable the individual to focus the image properly.
  • the positive optical power that is provided for this reason is typically referred to as refractive add.
  • Multifocal lens designs that will accommodate large groups of patients require that all patients in the particular group have approximately the same refractive add requirement.
  • a patient's Hloss is a measurement of how many lines of visual acuity a subject loses when trying to perform near vision tasks with their distance Rx compared to their near Rx addition.
  • VA Visual acuity
  • MAR minimum angle of resolution
  • 20/20 corresponds to 0.00
  • values better than 20/20 are positive values
  • values poorer than 20/20 are negative values.
  • VA also can be measured in lines lost from a best spectacle correction. Such measurements are based upon number of letters on a line, assuming an eye chart with eight letters on a line.
  • VA measurements can be taken for near and distance optical performance. VA can also be measured at high, low or intermediate levels of luminance and contrast.
  • VA performance of specific lens designs can be determined subjectively. Subjective determinations are based upon subjective ratings by individual patients after being fitted with different lens designs. A subjective rating may be based upon a patient's optical performance rating of a lens as defined by a number selected from a predetermined range.
  • An object of the present invention is to optimize multifocal lens designs for large populations of patients.
  • Another object of the present invention is to utilize neural network analysis to determine optimal multifocal lens designs for large populations of patients.
  • a further object of the present invention is to analyze initial fit Visual Acuity (VA) data collected from clinical studies of various multifocal lens designs and to optimize multifocal lens designs based upon those studies.
  • VA Visual Acuity
  • Figure 1 shows the structure of a neural network.
  • Figure 2 shows a schematic representation of a processing elements used in a neural network.
  • Figure 3 shows a graph of predicted actual distance VA at high luminance high contrast plotted against number of rings for five different lens designs.
  • Figure 4 shows a graph of predicted subjective distance response rating plotted against number of rings for five different lens designs.
  • Figure 5 shows a graph of predicted actual near VA at high luminance high contrast plotted against number of rings for five different lens designs.
  • Figure 6 shows a graph of predicted subjective near response rating plotted against number of rings for five different lens designs.
  • Figure 7 shows a graph of a normalized composite of predicted distance VA and predicted subjective distance response plotted against number of rings for five different lens designs.
  • Figure 8 shows a graph of a normalized composite of predicted near VA and subjective near response plotted against number of rings for five different lens designs.
  • Figure 9 shows a graph of a normalized composite of predicted near VA/subjective and distance VA/subjective plotted against number of rings for five different lens designs.
  • Figure 10 shows a graph of a normalized composite of five lens designs relative to predicted VA/subjective response plotted against number of rings.
  • Neural network analysis is a method of modeling non-linear relationships between independent and dependent variables. The analysis is performed by creating a neural network which accurately models the relationship between the independent and dependent variables. Once a valid neural network is created it can be used to predict values of unknown, dependent variables on the basis of known, independent variables. By convention, in neural network analysis, independent variables are called inputs and dependent variables are called outputs.
  • connection weights are determined by a training algorithm which examines training data that is input into the neural network.
  • the training data is a set of inputs and associated outputs that are representative of the non-linear relationship being modeled.
  • the training algorithm processes the training data and finds a set of weights that minimize the error between the predicted output of the neural network and the training data output.
  • a neural network is structurally comprised of an input layer, one or more hidden layers, and an output layer.
  • the output and hidden layers are comprised of interconnected processing elements which are the main building blocks of a neural network.
  • the main function of the input layer is to route input values to processing elements of the first hidden layer. Each processing element multiplies each input by a different weight value and adds the individual products. The results are passed through a non-linear transfer function to produce a processing element output. All processing element outputs of one layer are routed to processing element inputs of the next layer where the same processing is repeated.
  • the last layer is the output layer which contains either linear or non-linear processing elements.
  • Non-linear processing elements process inputs in the same manner described above.
  • Linear processing elements simply pass the input of the processing element to the output of the processing element.
  • the outputs of the processing elements in the output layer produce the final output of the neural network.
  • neural network design considerations include whether the neural network is a fully connected and/or a feedforward design.
  • a neural network is fully connected if all outputs from one layer are used as inputs to the next layer.
  • a neural network is feedforward if there are no internal feedback loops (i.e. no outputs from one layer are used as inputs to a previous layer).
  • the first step in creating a neural network is to define what is to be predicted. These predictions will be the outputs of the neural network.
  • the next step is to identify all variables that could possibly influence the value of the predictions. These variables will be the inputs to the neural network. Once the inputs and outputs have been identified the remaining structure of the neural network, including the number of layers and the number of processing elements in each layer, must be determined.
  • Training data is a set of data, including input variables and associated output variables, which represent the statistical relationship to be modeled by the neural network. The more training data collected and used the better, particularly if the relationship being modeled is statistical.
  • Training is accomplished by a training algorithm that is implemented by the neural network.
  • the training algorithm processes the training data and selects appropriate connection weights which will most closely model the relationship between the training data inputs and the training data outputs.
  • test data is gathered in the same manner as training data, in fact, for superior test results, test data should consist of a random ten percent of the training data.
  • Testing a neural network is accomplished as follows. Test data inputs are individually input into the neural network. The neural network is run and predicted outputs are generated for each test input. The predicted outputs are compared to actual test data outputs to determine if the neural network is performing properly. A neural network that performs poorly on test data should not be used.
  • a neural network After a neural network is trained it can be used to predict outputs based on various inputs. A set of variables can be used as inputs and the neural network can be run to predict outputs based upon those inputs. The resulting predictions then can be used for the purpose for which the neural network was designed.
  • the present invention comprises a method which utilizes a neural network to predict optimal multifocal lens designs for large populations of patients.
  • the neural network is used to model the non-linear relationship between various optical design parameters and the associated visual acuity performance of lenses formed using those design parameters. A detailed description of the inventive method is set forth below.
  • the first step is to identify optical design parameters that are relevant to a specific optical refractive condition.
  • the identified optical design parameters then are used to form optical lenses that are used in clinical evaluations to derive visual acuity performance data for a defined number of patients having the specified optical refractive condition.
  • a neural network is created using the identified optical design parameters and various patients parameters as inputs, and the visual acuity data as outputs. After creation, the neural network is trained using the data collected in the clinical evaluations.
  • a neural network is created using @BRAIN Neural Network Development System (NNDS) from Talon Development Corporation.
  • the neural network is used to model a non-linear relationship between various optical design parameters and associated VA/subjective performance of lenses formed using those design parameters.
  • the neural network comprises several layers including an input layer, an output layer and one or more hidden layers having interconnected processing elements that are used by a training algorithm to determine a set of connection weights that accurately model the relationship between the optical design parameters and the VA/subjective performance of the associated lenses.
  • a neural network was used to determine the optimal number of concentric annular rings for multifocal contact lenses designed for a large population of patients having presbyopia and requiring medium refractive add correction.
  • a first step was to identify optical design parameters for patients having presbyopia and requiring medium add correction.
  • the optical design parameters included number of concentric annular rings, lens add power, pupil function, and monocular or binocular pair. Number of rings had a range from 1 to 12, lens add power had a value of either 1.5 or 2.0, pupil function was either distance/equal (d/q); distance/equal/distance (d/q/d); or near/equal/distance (n/q/d), and monocular or binocular pair was either monocular pair or binocular pair.
  • design code 103 was a monocular design having 12 rings, a lens add power of 1.5 and a pupil function of d/q
  • design code 104 was a monocular design having 7 rings, a lens add power of 1.5 and a pupil function of d/q/d
  • design code 105/6 was a binocular design having 6.5 rings, a lens add power of 1.5 and a pupil function of d/q
  • design code 107/8 was a binocular design having 6 rings, a lens add power of 1.5 and a pupil function of d/q/d
  • design code 109/10 was a binocular design having 3 rings, a lens add power of 1.5 and a pupil function of d/q/d
  • design code 111/12 was a binocular design having 4.5 rings, a lens add power of 1.5 and a pupil function of d
  • multifocal contact lenses were formed using the specific design parameters in each design group. Patients were fitted with the lenses so formed, and clinical evaluations were performed to collect VA and subjective performance data for each lens design. For each patient wearing a specified design, actual VA for near and distance at high luminance and high contrast were measured in visual acuity units (v.a.u.) based upon a -10 Log MAR system. In addition, subjective response ratings for near, distance and overall lens performance were recorded for each patient based upon their satisfaction with the lens in question. Subjective response ratings were selected from a range between 0 and 50, where 50 was best spectacle correction and zero was no correction.
  • optical design parameters and associated patient parameters were recorded in a spreadsheet along with the corresponding actual VA and subjective response data for each patient wearing each lens design.
  • Patient parameters included patient age, patient refractive add and patient Hloss.
  • the spreadsheet consisted of the data listed in Table I.
  • the next step was to utilize @BRAIN NNDS to create a fully connected feedforward neural network, as shown in Figure 1, using the identified optical design and patient parameters as inputs, and actual VA and subjective response as outputs. Accordingly, the input layer has seven inputs (I1-I7) and the output layer has five processing elements (PE01-PE05) including five outputs (01-05).
  • the remaining structure of the neural network consists of a first hidden layer having eleven processing elements (PEA1-PEA11) and a second hidden layer having eight processing elements (PEB1-PEB8).
  • the neural network is interconnected as shown in Figure 1. All seven inputs of the input layer are routed to the inputs of all eleven processing elements of the first hidden layer. The outputs of all eleven processing elements of the first hidden layer are input to all eight processing elements of the second hidden layer. The outputs of all eight processing elements of the second hidden layer are input to all five processing elements of the output layer. The outputs of the five processing elements of the output layer are the five outputs of the neural network which correspond to actual VA and subjective response.
  • the neural network was trained using the data collected during the clinical evaluations. Training was accomplished by inputting the spreadsheet containing the clinically collected data into the neural network and allowing the training algorithm to learn the nonlinear relationship between the input design data and the output VA/subjective data.
  • the training process is accomplished as follows.
  • the seven optical design and patient parameters are routed from the input layer to the inputs of all eleven processing elements of the first hidden layer.
  • Each processing element as shown in Figure 2, multiplies each input by a different connection weight and adds the individual products.
  • the results are passed through the sigmoid non-linear transfer function, as defined above, to produce eleven processing element outputs.
  • All eleven processing element outputs of the first hidden layer are routed to the inputs of all eight processing elements of the second hidden layer. Again, each processing element multiplies each input by a different connection weight, adds the individual products and passes the results through the sigmoid non-linear transfer function to produce eight processing element outputs.
  • All eight processing element outputs of the second hidden layer are routed to the inputs of all five processing elements of the output layer. And again, each processing element multiplies each input by a different connection weight, adds the individual products and passes the results through the sigmoid non-linear transfer function to produce five processing element outputs. These five processing element outputs are the five predicted VA/subjective outputs of the neural network.
  • the training algorithm dynamically compares the five predicted VA/subjective outputs with the associated training data VA/subjective outputs for each set of training data inputs and dynamically changes the connection weights to find a set which minimizes the error between the predicted outputs and the training data outputs.
  • the resulting set of connection weights should accurately model the relationship between all the training data inputs and the associated training data outputs.
  • the resulting neural network is called a trained neural network.
  • Test data should not consist of data that is used to train the neural network. This insures, with successful test results, that the neural network has learned, not memorized, the relationship between the input training data and the output training data.
  • test data was distinguished from training data by utilizing a three digit random number generator to assign a three digit number, from 0.000 to 0.999, to each design case.
  • the three digit numbers were generated and integrated into the spreadsheet as random training/learning numbers (see Table I).
  • the neural network was programed to use any data associated with a number less than or equal to 0.100 as test data and any data associated with a number greater than 0.100 as training data.
  • test inputs consisting of seven optical design and patient parameters
  • the seven test inputs are routed from the input layer to the inputs of all eleven processing elements of the first hidden layer.
  • Each processing element multiplies each input by the different connection weights that were determined during training and adds the individual products.
  • the results are passed through the sigmoid non-linear transfer function to produce eleven processing element outputs.
  • All eleven processing element outputs of the first hidden layer are routed to the inputs of all eight processing elements of the second hidden layer. Again, each processing element multiplies each input by the predetermined connection weights, adds the individual products and passes the results through the sigmoid non-linear transfer function to produce eight processing element outputs.
  • All eight processing element outputs of the second hidden layer are routed to the inputs of all five processing elements of the output layer. And again, each processing element multiplies each input by the predetermined connection weights, adds the individual products and passes the results through the sigmoid non-linear transfer function to produce five processing element outputs. These five processing element outputs produce five predicted test outputs consisting of predicted VA and subjective test outputs.
  • the predicted test outputs were compared to the clinically collected VA/subjective outputs to determine if they were substantially the same.
  • the predicted outputs were substantially the same for each patient in the test group, thus, the trained neural network was deemed valid.
  • a further sanity test was performed as follows. The clinically collected data was grouped by design code and averaged, thereby obtaining average values for all inputs and actual patient performance outputs of each design group (see Table II).
  • the predicted outputs were compared to the actual average outputs and the difference between the VA and subjective outputs was calculated and recorded in TABLE II.
  • the VA difference was calculated in Letters gained or lost, which is calculated by multiplying the VA difference in VA units by eight, which is the number of Letters on a line.
  • the subjective difference was based on a 0 to 50 unitless range.
  • the VA difference ranged from -4.80 to 2.79 Letters and the subjective difference ranged from -4 to 5, both of which are negligible.
  • the sanity test further proved that the trained neural network was valid.
  • the trained neural network was used to predict distance and near VA and subjective response for several lens design as a function of the number of rings of each lens.
  • average input parameters for five lens designs were input into the trained neural network as constants, except for number of rings which was varied from 1 to 12.
  • a set of predicted VA and subjective outputs were obtained that were a function of number of rings.
  • the predicted VA and subjective output data was then plotted graphically for the following five lens designs: monocular d/q/d, monocular d/q, monocular n/q/d, binocular d/q, and binocular d/q/d.
  • each of the two sets of data was normalized and integrated as a composite graph, and these two composites integrations were integrated into a single composite which depicted a single optimal value for all of the integrated data sets.
  • the predicted actual distance VA and subjective distance response were normalized to a value of 1.0.
  • the normalized distance VA values that corresponded to the same number of rings were multiplied by the subjective distance values and plotted against number of rings for the five lens designs defined above.
  • the resulting graph was a distance normalized composite as shown in Figure 7.
  • the distance normalized composite was then multiplied by the near normalized composite and the result was plotted against number of rings for the five lens designs defined above.
  • the resulting graph was a distance/near normalized composite as shown in Figure 9.
  • the final integration was prepared multiplying each of the resulting distance/near normalized values for each of the five lens designs and plotting them against the number of rings.
  • the resulting graph was a distance/near normalized composite for all five lens types combined, as shown in Figure 10.
  • This graph represents a single function which defines the combination of all the predicted outputs for all five lens designs. This graph peaks between 5 and 7 rings.
  • the optimal number of rings for a large population of patients having presbyopia and requiring medium refractive add correction is between 5 and 7.
  • This composite integration technique could be used for harmonizing or peaking disparate data sets to select any single design element that is separately tested. It could also be used if the subjective and actual results for a particular diagnostic remedy were in general harmony, as was the case with the integration of the results of Figure 9 to the single optimzation composite illustrated in Figure 10.
  • the preferred embodiment of the present inventive method described herein can be modified to determine the optimal number of rings for patients having other optical refractive conditions including, but not limited to, astigmatism and cataracts.
  • the preferred embodiment of the present inventive method described herein also can be modified to determine optimal values for other design parameters including, but not limited to, monocular or binocular pair and pupil function.
EP97303145A 1996-05-09 1997-05-08 Analyse à réseau neuronal pour la conception de lentilles de contact multifocales Expired - Lifetime EP0806694B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US08/647,005 US5724258A (en) 1996-05-09 1996-05-09 Neural network analysis for multifocal contact lens design
US647005 1996-05-09

Publications (3)

Publication Number Publication Date
EP0806694A2 true EP0806694A2 (fr) 1997-11-12
EP0806694A3 EP0806694A3 (fr) 1999-02-24
EP0806694B1 EP0806694B1 (fr) 2002-11-13

Family

ID=24595329

Family Applications (1)

Application Number Title Priority Date Filing Date
EP97303145A Expired - Lifetime EP0806694B1 (fr) 1996-05-09 1997-05-08 Analyse à réseau neuronal pour la conception de lentilles de contact multifocales

Country Status (8)

Country Link
US (1) US5724258A (fr)
EP (1) EP0806694B1 (fr)
JP (1) JP4018193B2 (fr)
AT (1) ATE227854T1 (fr)
AU (1) AU712104B2 (fr)
CA (1) CA2204692C (fr)
DE (1) DE69716994T2 (fr)
SG (1) SG80571A1 (fr)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001011417A1 (fr) * 1999-08-06 2001-02-15 Johnson & Johnson Vision Care, Inc. Procede de conception et d'adaptation de lentilles de contact tenant compte des proprietes physiques des lentilles
US7111938B2 (en) 2001-04-27 2006-09-26 Novartis Ag Automatic lens design and manufacturing system
WO2009032626A1 (fr) * 2007-08-28 2009-03-12 Johnson & Johnson Vision Care, Inc. Procédé de conception de lentilles de contact multifocales
EP1740346A4 (fr) * 2004-02-20 2009-08-12 Ophthonix Inc Systeme et procede d'analyse d'aberrations de front d'ondes
WO2017222835A1 (fr) 2016-06-22 2017-12-28 Indizen Optical Technologies of America, LLC Conception de lentille ophtalmique personnalisée dérivée de multiples sources de données
CN107976804A (zh) * 2018-01-24 2018-05-01 郑州云海信息技术有限公司 一种镜头光学系统的设计方法、装置、设备及存储介质
EP3321831B1 (fr) 2016-11-14 2019-06-26 Carl Zeiss Vision International GmbH Dispositif de détermination de données de réfraction subjectives pronostiquées ou de données de correction subjectives pronostiquées et programme informatique
WO2020102762A1 (fr) * 2018-11-16 2020-05-22 Arizona Board Of Regents On Behalf Of The University Of Arizona Conception de système optique
CN112578575A (zh) * 2019-09-30 2021-03-30 豪雅镜片泰国有限公司 学习模型的生成方法、记录介质、眼镜镜片选择支持方法及系统

Families Citing this family (46)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE69932809T2 (de) * 1998-03-04 2007-03-29 Visx Inc., Santa Clara System zur Laserbehandlung der Altersichtigkeit
EP1346299A1 (fr) * 2000-10-18 2003-09-24 Johnson & Johnson Consumer Companies, Inc. Systeme de recommendation de produit base sur une performance intelligente
EP1205863A1 (fr) * 2000-11-14 2002-05-15 Honda R&D Europe (Deutschland) GmbH Optimisation à objectifs multiples
WO2002043581A2 (fr) 2000-11-30 2002-06-06 Sarver And Associates Algorithme avance d'intervention sur la vision.
EP1235180A1 (fr) 2001-02-26 2002-08-28 Honda R&D Europe (Deutschland) GmbH Adaptation de paramètres dans des stratégies évolutives
US7605649B2 (en) * 2001-03-13 2009-10-20 Marvell World Trade Ltd. Nested transimpedance amplifier
US7123985B2 (en) * 2002-04-12 2006-10-17 Johnson & Johnson Vision Care, Inc. Design build test cycle reduction
US6932808B2 (en) * 2002-11-19 2005-08-23 Visx, Incorporated Ablation shape for the correction of presbyopia
DE10255189B4 (de) * 2002-11-27 2005-12-22 Photeon Technologies Gmbh Verfahren zum Entwurf von Wellenleitergeometrien in integrierten optischen Bauelementen
US7896916B2 (en) 2002-11-29 2011-03-01 Amo Groningen B.V. Multifocal ophthalmic lens
SE0203564D0 (sv) 2002-11-29 2002-11-29 Pharmacia Groningen Bv Multifocal opthalmic lens
US8911086B2 (en) 2002-12-06 2014-12-16 Amo Manufacturing Usa, Llc Compound modulation transfer function for laser surgery and other optical applications
US7320517B2 (en) * 2002-12-06 2008-01-22 Visx, Incorporated Compound modulation transfer function for laser surgery and other optical applications
US7434936B2 (en) * 2002-12-06 2008-10-14 Amo Manufacturing Usa, Llc Residual accommodation threshold for correction of presbyopia and other presbyopia correction using patient data
EP1567907A4 (fr) * 2002-12-06 2009-09-02 Amo Mfg Usa Llc Correction de la presbytie en utilisant les donnees du patient
US8342686B2 (en) 2002-12-06 2013-01-01 Amo Manufacturing Usa, Llc. Compound modulation transfer function for laser surgery and other optical applications
US7460288B2 (en) * 2002-12-06 2008-12-02 Amo Manufacturing Usa, Llc Methods for determining refractive corrections from wavefront measurements
US6951391B2 (en) * 2003-06-16 2005-10-04 Apollo Optical Systems Llc Bifocal multiorder diffractive lenses for vision correction
KR100957239B1 (ko) 2003-11-14 2010-05-11 오프소닉스 인코포레이티드 안경 제조 방법
EP1598751B1 (fr) * 2004-01-12 2014-06-25 Honda Research Institute Europe GmbH Estimation d'algorithmes de distribution
EP1557788B1 (fr) * 2004-01-26 2008-04-16 Honda Research Institute Europe GmbH Réduction d'évaluations de l'adaptation en utilisant des techniques de regroupement et des ensembles de réseaux neuromimétiques
JP4897497B2 (ja) * 2004-02-20 2012-03-14 ヴィズイクス・インコーポレーテッド 目の診断および治療のための容積点広がり関数
US20050261752A1 (en) * 2004-05-18 2005-11-24 Visx, Incorporated Binocular optical treatment for presbyopia
US7387387B2 (en) * 2004-06-17 2008-06-17 Amo Manufacturing Usa, Llc Correction of presbyopia using adaptive optics and associated methods
US7156516B2 (en) * 2004-08-20 2007-01-02 Apollo Optical Systems Llc Diffractive lenses for vision correction
US7025456B2 (en) * 2004-08-20 2006-04-11 Apollo Optical Systems, Llc Diffractive lenses for vision correction
US7922326B2 (en) 2005-10-25 2011-04-12 Abbott Medical Optics Inc. Ophthalmic lens with multiple phase plates
WO2006068696A1 (fr) * 2004-10-25 2006-06-29 Advanced Medical Optics, Inc. Lentille ophtalmique comprenant plusieurs lames de phase
US20060229932A1 (en) * 2005-04-06 2006-10-12 Johnson & Johnson Services, Inc. Intelligent sales and marketing recommendation system
US7413566B2 (en) * 2005-05-19 2008-08-19 Amo Manufacturing Usa, Llc Training enhanced pseudo accommodation methods, systems and devices for mitigation of presbyopia
EP1768053A1 (fr) * 2005-09-12 2007-03-28 Honda Research Institute Europe GmbH Recherche évolutionnaire pour solutions robustes
US8147063B2 (en) * 2006-04-21 2012-04-03 Otc Optics Llc Method for minimizing prism in over-the-counter eyeglasses and optical devices
SG148891A1 (en) * 2007-06-21 2009-01-29 Novartis Ag Engineering expert system
CN108013952A (zh) 2012-08-31 2018-05-11 Amo格罗宁根私人有限公司 用于扩展焦深的多环晶状体、系统和方法
JP6099232B2 (ja) * 2013-08-22 2017-03-22 ビスポーク， インコーポレイテッド カスタム製品を創作するための方法及びシステム
WO2017137840A1 (fr) 2016-02-09 2017-08-17 Amo Groningen B.V. Lentille intraoculaire progressive et ses procédés d'utilisation et de fabrication
AU2018235011A1 (en) 2017-03-17 2019-10-24 Amo Groningen B.V. Diffractive intraocular lenses for extended range of vision
US11523897B2 (en) 2017-06-23 2022-12-13 Amo Groningen B.V. Intraocular lenses for presbyopia treatment
AU2018292024A1 (en) 2017-06-28 2020-01-02 Amo Groningen B.V. Diffractive lenses and related intraocular lenses for presbyopia treatment
AU2018292030B2 (en) 2017-06-28 2024-02-08 Amo Groningen B.V. Extended range and related intraocular lenses for presbyopia treatment
US11327210B2 (en) 2017-06-30 2022-05-10 Amo Groningen B.V. Non-repeating echelettes and related intraocular lenses for presbyopia treatment
BR112021008845A2 (pt) * 2018-11-15 2021-08-17 Essilor International método e sistema para determinação de parâmetros usados para fabricar um artigo óptico e um artigo óptico correspondente
EP4023181A4 (fr) * 2019-08-27 2023-06-14 Visuworks Procédé de détermination de cristallin et dispositif l'utilisant
CA3166308A1 (fr) 2019-12-30 2021-07-08 Amo Groningen B.V. Lentilles ayant des profils de diffraction ayant une largeur irreguliere pour le traitement de la vision
DE102020004840A1 (de) * 2020-08-07 2022-02-10 Rodenstock Gmbh Verbesserte Berechnung ophthalmischer Linsen
WO2023135745A1 (fr) * 2022-01-14 2023-07-20 オリンパス株式会社 Système de conception de système optique, procédé de conception de système optique, modèle entraîné, programme et support d'enregistrement d'informations

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0295849A2 (fr) * 1987-06-19 1988-12-21 Sola International Holdings, Ltd. Lentille progressive et son procédé de fabrication
US4869587A (en) * 1987-12-16 1989-09-26 Breger Joseph L Presbyopic contact lens
EP0601846A1 (fr) * 1992-12-09 1994-06-15 JOHNSON & JOHNSON VISION PRODUCTS, INC. Lentille ophthalmique adaptée à la pupille oculaire
WO1996008745A1 (fr) * 1994-09-16 1996-03-21 Permeable Technologies, Inc. Lentilles de contact multifocales et procede de production de ces lentilles
EP0742464A2 (fr) * 1995-05-04 1996-11-13 JOHNSON & JOHNSON VISION PRODUCTS, INC. Lentille ophtalmique multifocale

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1987000299A1 (fr) * 1985-06-24 1987-01-15 Leonard Bronstein Lentilles de contact
FR2573876A1 (fr) * 1984-11-26 1986-05-30 Vinzia Francis Lentille multifocale, procede de preparation de cette lentille et utilisation comme lentille de contact ou comme implant intra-oculaire pour remplacer le cristallin
FI79619C (fi) * 1984-12-31 1990-01-10 Antti Vannas Intraokulaer lins.
EP0201231A3 (fr) * 1985-05-03 1989-07-12 THE COOPER COMPANIES, INC. (formerly called CooperVision, Inc.) Méthode de traitement de la presbytie avec des lentilles de contact bifocales concentriques
WO1987007496A1 (fr) * 1986-06-05 1987-12-17 Precision-Cosmet Co., Inc. Construction de lentille intra-oculaire bifocale en une seule piece
US5225858A (en) * 1987-06-01 1993-07-06 Valdemar Portney Multifocal ophthalmic lens
ZA888416B (en) * 1988-07-20 1989-07-26 L Cohen Allen Multifocal optical device
GB9008582D0 (en) * 1990-04-17 1990-06-13 Pilkington Diffractive Lenses Method and contact lenses for treating presbyobia
US5112351A (en) * 1990-10-12 1992-05-12 Ioptex Research Inc. Multifocal intraocular lenses
US5198844A (en) * 1991-07-10 1993-03-30 Johnson & Johnson Vision Products, Inc. Segmented multifocal contact lens
FR2688898A1 (fr) * 1992-03-23 1993-09-24 Chemoul Alain Lentille de contact et son procede de realisation.
US5430506A (en) * 1992-11-06 1995-07-04 Volk; Donald A. Indirect ophthalmoscopy lens for use with slit lamp biomicroscope
US5526071A (en) * 1993-03-31 1996-06-11 Permeable Technologies, Inc. Multifocal contact lens and method for preparing
US5619289A (en) * 1993-03-31 1997-04-08 Permeable Technologies, Inc. Multifocal contact lens
US5404183A (en) * 1993-03-31 1995-04-04 Seidner; Leonard Multifocal contact lens and method for preparing
US5493350A (en) * 1993-03-31 1996-02-20 Seidner; Leonard Multipocal contact lens and method for preparing
US5517260A (en) * 1994-03-28 1996-05-14 Vari-Site, Inc. Ophthalmic lens having a progressive multifocal zone and method of manufacturing same

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0295849A2 (fr) * 1987-06-19 1988-12-21 Sola International Holdings, Ltd. Lentille progressive et son procédé de fabrication
US4869587A (en) * 1987-12-16 1989-09-26 Breger Joseph L Presbyopic contact lens
EP0601846A1 (fr) * 1992-12-09 1994-06-15 JOHNSON & JOHNSON VISION PRODUCTS, INC. Lentille ophthalmique adaptée à la pupille oculaire
WO1996008745A1 (fr) * 1994-09-16 1996-03-21 Permeable Technologies, Inc. Lentilles de contact multifocales et procede de production de ces lentilles
EP0742464A2 (fr) * 1995-05-04 1996-11-13 JOHNSON & JOHNSON VISION PRODUCTS, INC. Lentille ophtalmique multifocale

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
J. MACDONALD ET AL: "Optimization of a lens design using a neural network" PROCEEDINGS OF THE SPIE- THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING: APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IV, vol. 1965, 1993, pages 431-442, XP002086930 *
M.B. SUKHASWAMI ET AL: "Restoration of geometrically aberrated images using a self-organising neural network" PATTERN RECOGNITION LETTERS, vol. 17, 10 January 1996, pages 1-10, XP000543722 *
P. ERICKSON ET AL: "Performance characteristics of a hydrophilic concentric bifocal contact lens" AMERICAN JOURNAL OF OPTOMETRY AND PHYSIOLOGICAL OPTICS, vol. 62, no. 10, October 1985, pages 702-708, XP002086667 *

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU768944B2 (en) * 1999-08-06 2004-01-08 Johnson & Johnson Vision Care, Inc. Method of designing and fitting contact lenses taking into account material properties of the lenses
WO2001011417A1 (fr) * 1999-08-06 2001-02-15 Johnson & Johnson Vision Care, Inc. Procede de conception et d'adaptation de lentilles de contact tenant compte des proprietes physiques des lentilles
US7762667B2 (en) 2001-04-27 2010-07-27 Novartis Ag Automatic lens design and manufacturing system
US7111938B2 (en) 2001-04-27 2006-09-26 Novartis Ag Automatic lens design and manufacturing system
US7780293B2 (en) 2001-04-27 2010-08-24 Novartis Ag Automatic lens design and manufacturing system
US7775663B2 (en) 2001-04-27 2010-08-17 Novartis Ag Automatic lens design and manufacturing system
EP1740346A4 (fr) * 2004-02-20 2009-08-12 Ophthonix Inc Systeme et procede d'analyse d'aberrations de front d'ondes
US7625086B2 (en) 2007-08-28 2009-12-01 Johnson & Johnson Vision Care, Inc. Method of designing multifocal contact lenses
WO2009032626A1 (fr) * 2007-08-28 2009-03-12 Johnson & Johnson Vision Care, Inc. Procédé de conception de lentilles de contact multifocales
RU2464604C2 (ru) * 2007-08-28 2012-10-20 Джонсон Энд Джонсон Вижн Кэа, Инк. Способ формирования мультифокальных контактных линз
EP2717084A1 (fr) * 2007-08-28 2014-04-09 Johnson and Johnson Vision Care, Inc. Procédé de conception de lentilles de contact multifocales
WO2017222835A1 (fr) 2016-06-22 2017-12-28 Indizen Optical Technologies of America, LLC Conception de lentille ophtalmique personnalisée dérivée de multiples sources de données
EP3474723A4 (fr) * 2016-06-22 2019-08-14 Indizen Optical Technologies Of America, LLC Conception de lentille ophtalmique personnalisée dérivée de multiples sources de données
EP3321831B1 (fr) 2016-11-14 2019-06-26 Carl Zeiss Vision International GmbH Dispositif de détermination de données de réfraction subjectives pronostiquées ou de données de correction subjectives pronostiquées et programme informatique
CN107976804A (zh) * 2018-01-24 2018-05-01 郑州云海信息技术有限公司 一种镜头光学系统的设计方法、装置、设备及存储介质
WO2020102762A1 (fr) * 2018-11-16 2020-05-22 Arizona Board Of Regents On Behalf Of The University Of Arizona Conception de système optique
CN112578575A (zh) * 2019-09-30 2021-03-30 豪雅镜片泰国有限公司 学习模型的生成方法、记录介质、眼镜镜片选择支持方法及系统

Also Published As

Publication number Publication date
AU2006297A (en) 1997-11-27
DE69716994T2 (de) 2003-07-03
CA2204692A1 (fr) 1997-11-09
JP4018193B2 (ja) 2007-12-05
ATE227854T1 (de) 2002-11-15
AU712104B2 (en) 1999-10-28
EP0806694A3 (fr) 1999-02-24
MX9703455A (es) 1998-06-28
DE69716994D1 (de) 2002-12-19
EP0806694B1 (fr) 2002-11-13
JPH1068913A (ja) 1998-03-10
US5724258A (en) 1998-03-03
SG80571A1 (en) 2001-05-22
CA2204692C (fr) 2009-08-04

Similar Documents

Publication Publication Date Title
EP0806694B1 (fr) Analyse à réseau neuronal pour la conception de lentilles de contact multifocales
CN101686802B (zh) 用于确定眼睛的视力缺陷所需的矫正的装置和方法
RU2464604C2 (ru) Способ формирования мультифокальных контактных линз
US5929969A (en) Multifocal ophthalmic lens
EP0601846B1 (fr) Lentille ophthalmique adaptée à la pupille oculaire
CN203950079U (zh) 用于视觉屈光不正的镜片
US6802605B2 (en) Contact lens and method for fitting and design
US5835192A (en) Contact lenses and method of fitting contact lenses
RU2568961C2 (ru) Линза для пресбиопии с коррекцией размера зрачка в зависимости от уровня рефракционной аномалии
US5677750A (en) Apparatus for and method of simulating ocular optical system
CN102171601B (zh) 多焦镜片的拟合方法
AU717501B2 (en) Multifocal ophthalmic lens
US9091864B2 (en) System and method of calculating visual performance of an ophthalmic optical correction using simulation of imaging by a population of eye optical systems
MXPA97003455A (en) Neural network analysis for the design of multifour contact lenses
CN105319736A (zh) 用于接触镜片适配的患者交互式适配工具和方法
KR20230002799A (ko) 노안을 위한 다중-렌즈 시스템
MXPA96001673A (en) Multifo oftalmico lens

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AT BE CH DE DK ES FR GB GR IE IT LI NL PT SE

PUAL Search report despatched

Free format text: ORIGINAL CODE: 0009013

AK Designated contracting states

Kind code of ref document: A3

Designated state(s): AT BE CH DE DK ES FR GB GR IE IT LI NL PT SE

17P Request for examination filed

Effective date: 19990804

GRAG Despatch of communication of intention to grant

Free format text: ORIGINAL CODE: EPIDOS AGRA

17Q First examination report despatched

Effective date: 20020131

GRAG Despatch of communication of intention to grant

Free format text: ORIGINAL CODE: EPIDOS AGRA

GRAG Despatch of communication of intention to grant

Free format text: ORIGINAL CODE: EPIDOS AGRA

GRAH Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOS IGRA

GRAH Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOS IGRA

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): AT BE CH DE DK ES FR GB GR IE IT LI NL PT SE

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: NL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20021113

Ref country code: LI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20021113

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20021113

Ref country code: CH

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20021113

Ref country code: BE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20021113

Ref country code: AT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20021113

REF Corresponds to:

Ref document number: 227854

Country of ref document: AT

Date of ref document: 20021115

Kind code of ref document: T

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

REG Reference to a national code

Ref country code: CH

Ref legal event code: EP

REG Reference to a national code

Ref country code: IE

Ref legal event code: FG4D

REF Corresponds to:

Ref document number: 69716994

Country of ref document: DE

Date of ref document: 20021219

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20030213

Ref country code: PT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20030213

Ref country code: DK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20030213

NLV1 Nl: lapsed or annulled due to failure to fulfill the requirements of art. 29p and 29m of the patents act
ET Fr: translation filed
PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: ES

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20030529

REG Reference to a national code

Ref country code: CH

Ref legal event code: PL

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

26N No opposition filed

Effective date: 20030814

REG Reference to a national code

Ref country code: FR

Ref legal event code: PLFP

Year of fee payment: 19

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: GB

Payment date: 20150506

Year of fee payment: 19

Ref country code: DE

Payment date: 20150506

Year of fee payment: 19

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: IT

Payment date: 20150515

Year of fee payment: 19

Ref country code: FR

Payment date: 20150508

Year of fee payment: 19

Ref country code: IE

Payment date: 20150512

Year of fee payment: 19

REG Reference to a national code

Ref country code: DE

Ref legal event code: R119

Ref document number: 69716994

Country of ref document: DE

GBPC Gb: european patent ceased through non-payment of renewal fee

Effective date: 20160508

REG Reference to a national code

Ref country code: IE

Ref legal event code: MM4A

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20160508

REG Reference to a national code

Ref country code: FR

Ref legal event code: ST

Effective date: 20170131

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FR

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20160531

Ref country code: DE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20161201

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: GB

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20160508

Ref country code: IE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20160508